Radical relay strategy for the construction of alkylsulfonated indolo[2,1-]isoquinoline-6(5)-ones SO insertion/Smiles rearrangement.

A new radical relay approach for the efficient construction of alkylsulfonated indolo[2,1-]isoquinoline-6(5)-ones in moderate to good yields under mild conditions SO insertion/Smiles rearrangement/intramolecular cyclization is developed. This approach utilizes 4-alkyl substituted Hantzsch esters as alkyl radical sources and further undergoes SO insertion to obtain alkylsulfonyl radical species, which avoids the use of unstable alkyl sulfonyl chlorides and highly toxic sulfonyl hydrazides. Additionally, this method for the direct assembly of alkylsulfonated polycyclic molecule skeletons displays high chemical selectivity, broad substrate scope, and step-economy.

The impact of family burden on the psychological distress of informal caregivers for older adults living with dementia: The role of internal and external coping resources.

Objectives: Numerous studies have demonstrated that informal caregivers of people living with dementia (PLWD) have serious adverse psychological problems, but little research has been done on the role of integrating caregivers' various coping resources in reducing psychological effects. Therefore, the current study aimed to investigate the impact of caregivers' internal (self-efficacy and positive coping) and external coping resources (family function and social support) on the family burden and psychological distress.

Methods: A cross-sectional study, and a self-designed questionnaire, Family Burden Scale of Disease, Kessler Psychological Distress Scale, General Self-Efficacy Scale, Simplified Coping Style Question, The Family Adaptation, Partnership, Growth, Affection, Resolve Scale and Social Support Rating Scale were completed by 193 pairs of PLWD and caregivers.

Comparable clinical advantages identification of three formulae on rheumatic disease using a modular-based network proximity approach.

Ethnopharmacological Relevance: Herbal formulae have been used in China for thousands of years but have unclear clinical positioning and unknown characteristic indications make it difficult to determine their specific application in various diseases, which seriously hamper their clinical value. Identifying the precise clinical positioning and clinical advantages of similar formulae for related diseases is a critical issue.

Aim Of This Study: To develop a methodology based on modular pharmacology to determine the clinical advantages and precise clinical position of similar formulae.

Functional teeth and cognitive function among the Chinese elderly: The chain mediating effect of depressive symptoms and social participation.

The objective of this study was to investigate the chain mediating effects of depressive symptoms and social participation between functional teeth and cognitive function based on the biopsychosocial model. Data from the 2018 China Health and Retirement Longitudinal Study were analyzed. The findings revealed a favorable connection between the lack of edentulism and cognitive function, persisting even when accounting for the mediating factors of denture usage, depressive symptoms, and social participation.

Endotype-driven Co-module mechanisms of danhong injection in the Co-treatment of cardiovascular and cerebrovascular diseases: A modular-based drug and disease integrated analysis.

Ethnopharmacological Relevance: Cardiovascular and cerebrovascular diseases are the leading causes of death worldwide and interact closely with each other. Danhong Injection (DHI) is a widely used preparation for the co-treatment of brain and heart diseases (CTBH). However, the underlying molecular endotype mechanisms of DHI in the CTBH remain unclear.

TCMFP: a novel herbal formula prediction method based on network target's score integrated with semi-supervised learning genetic algorithms.

Traditional Chinese medicine (TCM) has accumulated thousands years of knowledge in herbal therapy, but the use of herbal formulas is still characterized by reliance on personal experience. Due to the complex mechanism of herbal actions, it is challenging to discover effective herbal formulas for diseases by integrating the traditional experiences and modern pharmacological mechanisms of multi-target interactions. In this study, we propose a herbal formula prediction approach (TCMFP) combined therapy experience of TCM, artificial intelligence and network science algorithms to screen optimal herbal formula for diseases efficiently, which integrates a herb score (Hscore) based on the importance of network targets, a pair score (Pscore) based on empirical learning and herbal formula predictive score (FmapScore) based on intelligent optimization and genetic algorithm.